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A Data Hiding Scheme Based on Lagrange Interpolation Algorithm and Multi-clouds

机译：一种基于拉格朗日插值算法和多云的数据隐藏方案

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摘要

The use of cloud storage services has increased rapidly in many organizations. However, the security of data stored in the cloud still remains major concerns. Due to risks of service availability failure and the possibility of malicious insiders in the single cloud, researches about "multi-clouds" have emerged recently. Recent researches that are related to multi-clouds have some limitations. For instance, Redundant Array of Cloud Storage (RACS) does not ensure data confidentiality. The performance of system is low in DEPSKY and so on. This paper presents a data hiding scheme that is based on Lagrange interpolation algorithm and multi-clouds. This scheme addresses data availability, data confidentiality and vendor lock-in issue in cloud storage services through the erasure codes and Lagrange interpolation algorithm instead of encryption to store data on diverse clouds. The performance analysis was done through experiences. We observed that our scheme improved the performance for the response times of data uploaded and downloaded.
机译：在许多组织中使用云存储服务的使用迅速增加。但是，云中存储的数据的安全性仍然是主要问题。由于服务可用性的风险以及单云中的恶意内部人士的可能性，最近出现了关于“多云”的研究。最近与多云有关的研究有一些限制。例如，冗余云存储阵列（RAC）不确保数据机密性。 DEPSKY的系统性能低等级。本文介绍了一种基于拉格朗日插值算法和多云的数据隐藏方案。该方案通过擦除代码和拉格朗日插值算法而不是加密来解决云存储服务中的数据可用性，数据机密性和供应商锁定问题，而不是加密以存储在不同云上的数据。性能分析是通过经验完成的。我们观察到，我们的计划改善了上传和下载的数据响应时间的性能。

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